Analytical and simulation-based estimation of public transport demand

Autores
Orlando, Victoria Maria; Baquela, Enrique Gabriel; Bhouri, Neila; Lotito, Pablo Andres
Año de publicación
2022
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
We consider the problem of public transport demand estimation. For the practical use of many models of transit assignment in any planning study, the knowledge of the transport demand systematized as an origin-destination matrix is required. Generally, this matrix is very expensive and difficult to obtain. In Bhouri et al. (2021) we proposed to estimate the OD-matrix through the numerical solution of a bilevel optimization problem. One disadvantage of this formulation is the difficulty of obtaining descent directions; therefore, we proposed a derivative-free method for the resolution of the optimization problem. Our goal in this work is to extend the study to larger networks, combining analytical modeling and simulation-optimization methodology. We use both approaches to perform the demand estimation over a section of a real network, and compare the obtained results for different scenarios and parameters.
Fil: Orlando, Victoria Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Grupo de Plasmas Densos Magnetizados; Argentina
Fil: Baquela, Enrique Gabriel. Universidad Tecnológica Nacional; Argentina
Fil: Bhouri, Neila. Universitè Gustave Eiffel; Francia
Fil: Lotito, Pablo Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Grupo de Plasmas Densos Magnetizados; Argentina
24th Euro Working Group on Transportation Meeting
Aveiro
Portugal
European Working Group on Transportation
Materia
PUBLIC TRANSPORT DEMAND
TRANSIT ASSIGNMENT
BI-LEVEL OPTIMIZATION
SIMULATION
EQUILIBRIUM MODEL
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/238505
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Analytical and simulation-based estimation of public transport demandOrlando, Victoria MariaBaquela, Enrique GabrielBhouri, NeilaLotito, Pablo AndresPUBLIC TRANSPORT DEMANDTRANSIT ASSIGNMENTBI-LEVEL OPTIMIZATIONSIMULATIONEQUILIBRIUM MODELhttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1We consider the problem of public transport demand estimation. For the practical use of many models of transit assignment in any planning study, the knowledge of the transport demand systematized as an origin-destination matrix is required. Generally, this matrix is very expensive and difficult to obtain. In Bhouri et al. (2021) we proposed to estimate the OD-matrix through the numerical solution of a bilevel optimization problem. One disadvantage of this formulation is the difficulty of obtaining descent directions; therefore, we proposed a derivative-free method for the resolution of the optimization problem. Our goal in this work is to extend the study to larger networks, combining analytical modeling and simulation-optimization methodology. We use both approaches to perform the demand estimation over a section of a real network, and compare the obtained results for different scenarios and parameters.Fil: Orlando, Victoria Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Grupo de Plasmas Densos Magnetizados; ArgentinaFil: Baquela, Enrique Gabriel. Universidad Tecnológica Nacional; ArgentinaFil: Bhouri, Neila. Universitè Gustave Eiffel; FranciaFil: Lotito, Pablo Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Grupo de Plasmas Densos Magnetizados; Argentina24th Euro Working Group on Transportation MeetingAveiroPortugalEuropean Working Group on TransportationElsevier2022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectWorkshopJournalhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/238505Analytical and simulation-based estimation of public transport demand; 24th Euro Working Group on Transportation Meeting; Aveiro; Portugal; 2021; 719-7262352-1465CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2352146522002174info:eu-repo/semantics/altIdentifier/doi/10.1016/j.trpro.2022.02.090Internacionalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:26:25Zoai:ri.conicet.gov.ar:11336/238505instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:26:26.002CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Analytical and simulation-based estimation of public transport demand
title Analytical and simulation-based estimation of public transport demand
spellingShingle Analytical and simulation-based estimation of public transport demand
Orlando, Victoria Maria
PUBLIC TRANSPORT DEMAND
TRANSIT ASSIGNMENT
BI-LEVEL OPTIMIZATION
SIMULATION
EQUILIBRIUM MODEL
title_short Analytical and simulation-based estimation of public transport demand
title_full Analytical and simulation-based estimation of public transport demand
title_fullStr Analytical and simulation-based estimation of public transport demand
title_full_unstemmed Analytical and simulation-based estimation of public transport demand
title_sort Analytical and simulation-based estimation of public transport demand
dc.creator.none.fl_str_mv Orlando, Victoria Maria
Baquela, Enrique Gabriel
Bhouri, Neila
Lotito, Pablo Andres
author Orlando, Victoria Maria
author_facet Orlando, Victoria Maria
Baquela, Enrique Gabriel
Bhouri, Neila
Lotito, Pablo Andres
author_role author
author2 Baquela, Enrique Gabriel
Bhouri, Neila
Lotito, Pablo Andres
author2_role author
author
author
dc.subject.none.fl_str_mv PUBLIC TRANSPORT DEMAND
TRANSIT ASSIGNMENT
BI-LEVEL OPTIMIZATION
SIMULATION
EQUILIBRIUM MODEL
topic PUBLIC TRANSPORT DEMAND
TRANSIT ASSIGNMENT
BI-LEVEL OPTIMIZATION
SIMULATION
EQUILIBRIUM MODEL
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We consider the problem of public transport demand estimation. For the practical use of many models of transit assignment in any planning study, the knowledge of the transport demand systematized as an origin-destination matrix is required. Generally, this matrix is very expensive and difficult to obtain. In Bhouri et al. (2021) we proposed to estimate the OD-matrix through the numerical solution of a bilevel optimization problem. One disadvantage of this formulation is the difficulty of obtaining descent directions; therefore, we proposed a derivative-free method for the resolution of the optimization problem. Our goal in this work is to extend the study to larger networks, combining analytical modeling and simulation-optimization methodology. We use both approaches to perform the demand estimation over a section of a real network, and compare the obtained results for different scenarios and parameters.
Fil: Orlando, Victoria Maria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Grupo de Plasmas Densos Magnetizados; Argentina
Fil: Baquela, Enrique Gabriel. Universidad Tecnológica Nacional; Argentina
Fil: Bhouri, Neila. Universitè Gustave Eiffel; Francia
Fil: Lotito, Pablo Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ciencias Exactas. Grupo de Plasmas Densos Magnetizados. Provincia de Buenos Aires. Gobernación. Comision de Investigaciones Científicas. Grupo de Plasmas Densos Magnetizados; Argentina
24th Euro Working Group on Transportation Meeting
Aveiro
Portugal
European Working Group on Transportation
description We consider the problem of public transport demand estimation. For the practical use of many models of transit assignment in any planning study, the knowledge of the transport demand systematized as an origin-destination matrix is required. Generally, this matrix is very expensive and difficult to obtain. In Bhouri et al. (2021) we proposed to estimate the OD-matrix through the numerical solution of a bilevel optimization problem. One disadvantage of this formulation is the difficulty of obtaining descent directions; therefore, we proposed a derivative-free method for the resolution of the optimization problem. Our goal in this work is to extend the study to larger networks, combining analytical modeling and simulation-optimization methodology. We use both approaches to perform the demand estimation over a section of a real network, and compare the obtained results for different scenarios and parameters.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
Workshop
Journal
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
status_str publishedVersion
format conferenceObject
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/238505
Analytical and simulation-based estimation of public transport demand; 24th Euro Working Group on Transportation Meeting; Aveiro; Portugal; 2021; 719-726
2352-1465
CONICET Digital
CONICET
url http://hdl.handle.net/11336/238505
identifier_str_mv Analytical and simulation-based estimation of public transport demand; 24th Euro Working Group on Transportation Meeting; Aveiro; Portugal; 2021; 719-726
2352-1465
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S2352146522002174
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.trpro.2022.02.090
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.coverage.none.fl_str_mv Internacional
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.891075

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